Genetics Selection Evolution is an open access, peer-reviewed, online journal dedicated to original research on all aspects of genetics and selection in farm animal species and in other species that provide novel and/or relevant insights into the genetics of farm animals. Read more.
Aims and scope
Announcing our expansion in scope
Historically Genetics Selection Evolution has been focused on publishing studies based on genetic and genomic data, but with vast increases in the spectrum of other -omic data and fast evolving statistical and computing technologies, we are extending our scope to also support contributions on other -omic data and the use of biotechnology in animal breeding.
Please see here for a full description of our journal scope. We would like to emphasize that contributions must include statements on the relevance of the work to the broader readership of the journal.
© Sergey Nivens
Explore the INRAE journals published by Springer Nature on the new portal
Please click here for an overview of the journals and new features.
Articles
-
-
Genetic analysis of protein efficiency and its association with performance and meat quality traits under a protein-restricted diet
-
A breed-of-origin of alleles model that includes crossbred data improves predictive ability for crossbred animals in a multi-breed population
-
The size and composition of haplotype reference panels impact the accuracy of imputation from low-pass sequencing in cattle
-
Characterization of the genetic pool of the Canadienne dairy cattle breed
-
A review on SNP and other types of molecular markers and their use in animal genetics
-
Ancient DNA studies: new perspectives on old samples
The Erratum to this article has been published in Genetics Selection Evolution 2013 45:4
-
Direct and social genetic parameters for growth and fin damage traits in Atlantic cod (Gadus morhua)
-
Estimation of genetic variance for macro- and micro-environmental sensitivity using double hierarchical generalized linear models
-
Accounting for dominance to improve genomic evaluations of dairy cows for fertility and milk production traits
2019
Retrospective Collection
Celebrating Genetics Selection Evolution’s 50th anniversary
Collection showcasing influential papers published in the journal over the past five decades.
Published: 19 November 2019
2018
Thematic Series
Goat ADAPTmap Project
Collection featuring research from the Goat AdaptMap project, a worldwide analysis of goat biodiversity.
Published: 19 November 2018
2016
Thematic Series
International Symposium on Functional Animal Genomics 2015
Collection featuring research and reviews from the International Symposium on Function Animal Genomics, held in Piacenza, Italy on 27th-29th July 2015.
Published: 29 March 2016
Editors-in-Chief
Didier Boichard, INRAE, France
Mario Calus, Wageningen University, Netherlands
Jack Dekkers, Iowa State University, US
Helene Hayes, INRAE, France
Managing Editor
Alexandra Badiou-Beneteau, INRAE, France
New Thematic Series: Celebrating Rohan Fernando’s contributions to quantitative genetics
On the occasion of Rohan Fernando’s retirement from his position as Professor of Animal Science at Iowa State University, Genetics Selection Evolution is proud to publish a special series of papers by several of Rohan’s collaborators and colleagues (past and present) to honor his important contributions to quantitative genetics, especially to animal breeding. Details are described in the Editorial prepared for the series. Papers will be released as they have successfully completed the standard peer review process.
Organizing Editor: Jack Dekkers , Iowa State University, United States
Read MoreFeatured Articles
Featured: Can breeders prevent pathogen adaptation when selecting for increased resistance to infectious diseases?
To successfully breed livestock for lower disease prevalence, it is essential to develop strategies that prevent the invasion of pathogen mutants that escape host resistance. In this paper, Hulst et al. investigate the conditions under which such “escape mutants” can replace wild-type pathogens in a closed livestock population using a mathematical model of disease transmission.
Featured: In it for the long run: perspectives on exploiting long-read sequencing in livestock for population scale studies of structural variants
In this review, the authors summarize recent progress in the characterization of SV in the major livestock species, the obstacles that still need to be overcome, as well as the future directions in this growing field. It seems timely that research communities pool resources to build global population-scale long-read sequencing consortiums for the major livestock species for which the application of genomic tools has become cost-effective.
Introducing our new Associate Editors
We are delighted to welcome our new Associate Editors and the expertise and the strength they bring to the board.
Thomas Faraut (INRAE, France) is a computational biologist in the GenPhySE laboratory at INRAE in Toulouse (France). His research interests are focused on the study of the structural variability of genomes, its dynamics within populations and during evolution, its impact on the 3D organization of genomes and more generally on genome function.
Alessio Cecchinato is Professor of Animal Breeding and Genetics at Department of Agronomy, Food, Natural resources, Animals and Environment (DAFNAE), University of Padova (Italy). His current research activity deals with emerging issues in genetics and genomics in livestock breeding, such as statistical methods and high-throughput phenotyping technologies (with particular emphasis on infrared-based tools) integrated with genomics for enhancing novel traits associated with animal health, adaptation to heat stress and fertility along with milk-related traits in dairy cattle.
About the Associate Editors
Find the Bios of our Associate Editors here
About the Editors-in-Chief
INRAE
Didier Boichard
Didier Boichard is currently leading the Cattle Genetics and Genomics research group in the laboratory of Animal Genetics and Integrative Biology at INRAE (French National Research Institute for Agriculture, Food and Environment) in Jouy-en-Josas.
His research is focused on dairy cattle genetics and breeding, particularly on the analysis of genetic variability of production and functional traits. He has managed the French national genetic evaluation for dairy cattle, sheep and goats and conducted projects for QTL detection and fine mapping. In 2002, in close collaboration with the French breeding industry, he implemented a large-scale marker-assisted selection programme, which has become a genomic selection programme since 2008.
Wageningen University
Mario Calus
Mario Calus is an associate professor at Animal Breeding and Genomics, Wageningen University, in The Netherlands.
His research in the past fifteen years mainly focused on the scientific development of genomic prediction and selection, and its implementation in collaboration with the breeding industry. More recently, this includes using other omics data in addition to structural genomic variation, to partition phenotypic variance and predict phenotypes.
Iowa State University
Jack Dekkers
Jack Dekkers is a distinguished professor of animal breeding and genetics in the Department of Animal Science at Iowa State University (USA).
His areas of research are quantitative genetics and animal breeding with application to swine and poultry genetics, including the use of molecular genetic and genomic information, QTL detection, marker-assisted and genomic selection, design, optimization and economic aspects of breeding strategies, and genetic aspects of residual feed intake in pigs.
INRAE
Helene Hayes
Helene Hayes is a researcher in the laboratory of Animal Genetics and Integrative Biology at INRAE (French National Research Institute for Agriculture, Food and Environment) in Jouy-en-Josas.
Her main focus is animal cytogenetics with a special interest on cattle, goat, sheep and rabbit cytogenetic maps and comparative mapping. Since 2005, she dedicates half her time to the management of the journal Genetics Selection Evolution.
Official journal of
Annual Journal Metrics
-
Citation Impact
5.100 - 2-year Impact Factor (2021)
5.236 - 5-year Impact Factor (2021)
1.659 - Source Normalized Impact per Paper (SNIP)
1.107 - SCImago Journal Rank (SJR)Speed
40 days to first decision for all manuscripts (Median)
55 days to first decision for reviewed manuscripts only (Median)Usage
841,056 downloads (2021)
468 Altmetric mentions (2021)